A risk prediction model outlined in The Journal of Clinical Endocrinology & Metabolism details how the best intervention for preventing type 2 diabetes may vary between people with prediabetes ...

Results The results indicated that the recalibrated SCORE2-Diabetes risk prediction model improved the identification of increased cardiovascular disease risk across the varied risk regions of Europe.

Computer models using machine learning and artificial intelligence successfully predicted gestational diabetes status among Chinese women using clinical data before 12 weeks’ gestation, 2 months ...

The area under the receiver operating characteristic curve, an estimate of the power of the prediction model, was 0.72, thereby indicating that our prediction model for type 2 diabetes may not be ...

Patients with type 2 diabetes can determine their risk of chronic kidney disease (CKD) by using a risk prediction model.

Updates to a 2011 prediction tool that estimates a pregnant woman's risk for developing gestational diabetes mellitus improves diagnosis and care.

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

A 2-step model combining the San Antonio Diabetes Prediction Model and 1-hour plasma glucose level was useful to identify Mexican Americans and whites at high risk for type 2 diabetes.

Cedar Gate Technologies announced an artificial intelligence-based solution for health care providers said to predict diabetes risk with 80% accuracy. Fox News Digital spoke to company executives.